Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Biblioteca como espaço de inclusão de pessoas com deficiência no mercado de trabalho: estudo de caso da contratação da APAE-DF pela Biblioteca do Ministério da Justiça

O presente trabalho é um relato de experiência sobre a inclusão de alunos da APAE-DF – Associação de Paes e Amigos dos Excepcionais do Distrito Federal para desenvolverem trabalho remunerado na Biblioteca do Ministério da Justiça e Segurança Pública. Entende-se que é função da biblioteca atuar na construção de uma sociedade plural, a qual contribua para o desenvolvimento de uma mentalidade coletiva em prol da mitigação das diferenças. Por mais que as políticas de inclusão das pessoas com necessidades especiais físicas e mentais tenham avançado no país, a inclusão destas no mercado de trabalho é insuficiente. Diante do exposto, a Biblioteca do Ministério da Justiça e Segurança Pública, no ano de 2018, contratou a APAE para realizar o trabalho de higienização e pequenos reparos de seu acervo, em especial o de Obras raras e Coleções Especiais, permitindo, de fato, a inclusão dos alunos da APAE-DF no mercado de trabalho. Assim, graças a parceria com a APAE-DF, a Biblioteca do Ministério da Justiça e Segurança Pública tornou concreta a inclusão da pessoa com necessidade especial cognitiva no ambiente de trabalho

Anemia ferropriva e estado nutricional de crianças com idade de 12 a 60 meses do município de Viçosa, MG Iron deficiency anemia and nutritional status of children aged 12 to 60 months in the city of Viçosa, MG, Brazil

Este estudo transversal abrangeu crianças com idade de 12 a 60 meses assistidas pelo serviço público de saúde do município de Viçosa, objetivando avaliar a prevalência de anemia e anemia grave, e a relação entre o estado nutricional e a anemia ferropriva, nessas crianças. Para o diagnóstico de anemia, foi utilizado o beta-hemoglobinômetro (Hemocue), considerando o ponto de corte proposto pela Organização Mundial da Saúde de 11,0 g/dL para anemia, e para a anemia grave considerou-se 9,5g/dL. Das 171 crianças atendidas, 63,2% estavam anêmicas e 43,5% destas apresentavam anemia grave. Analisando o estado nutricional, encontrou-se uma alta porcentagem de crianças desnutridas, sendo considerados os índices de peso/idade, peso/estatura e estatura/idade (11,7%, 7,0% e 5,8%, respectivamente). Observou-se alta prevalência de anemia entre as faixas etárias mais precoces. Não foi verificada associação entre anemia e estado nutricional. Torna-se, portanto, necessário trabalhar de forma preventiva a anemia, bem como alertar os profissionais da área de saúde quanto ao diagnóstico precoce, profilaxia e tratamento.<br>This cross sectional study included children aged 12 to 60 months attended by the public health service in the city of Viçosa, state of Minas Gerais. The objective was to evaluate the prevalences of anemia and serious anemia, the hemoglobin levels and the relation between nutritional status and iron deficiency anemia in these children. For the diagnosis of anemia, (Hemocue) was used, and the cutoff point of 11.0 g/dL proposed by the World Health Organization for anemia, and was adopted serious anemia, was adopted 9,5g/dL. A total of 171 children was evaluated; 62.2% were anemic and 43.5% of these were seriously anemic. Analyzing the nutritional status, a high percentage of under nourished children was found, according to the indexes weight/age, weight/height and height/age (11.7%, 7.0% and 5.8%, respectively). A high prevalence of anemia was observed among the earlier groups. No association was verified between anemia and nutritional status. Therefore, it is necessary to work towards anemia prevention and to alert the health professionals to an early diagnosis, prophylaxis and treatment

Assessment of the Interferon-Lambda-3 Polymorphism in the Antibody Response to COVID-19 in Older Adults Seropositive for CMV

Background: Here, we investigated the impact of IFN-lambda-3 polymorphism on specific IgG responses for COVID-19 in older adults seropositive for CMV. Methods: Blood samples of 25 older adults of both sexes were obtained at three different times: during a micro-outbreak (MO) of SARS-CoV-2 in 2020; eight months after (CURE); and 30 days after the administration of the second dose of ChadOx-1 vaccine (VAC). The specific IgG for both SARS-CoV-2 and CMV antigens, neutralizing antibodies against SARS-CoV-2, and also the polymorphism profile for IFN-lambda-3 (rs12979860 C > T) were assessed. Results: Higher levels of specific IgG for SARS-CoV-2 antigens were found in the MO and VAC than in the CURE time-point. Volunteers with specific neutralizing antibodies against SARS-CoV-2 showed better specific IgG responses for SARS-CoV-2 and lower specific IgG levels for CMV than volunteers without specific neutralizing antibodies. Significant negative correlations between the specific IgG levels for SARS-CoV-2 and CMV were found at the MO time-point, as well as in the group of individuals homozygous for allele 1 (C/C) in the MO time-point and heterozygotes (C/T) in the CURE time-point. Conclusion: Our results suggested that both CMV seropositivity and the homozygosis for allele 1 (C/C) in IFN-lambda-3 gene can negatively impact the antibody response to COVID-19 infection and vaccination in older adults